Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 10 of 78 for int32Ptr (0.18 sec)

  1. pkg/volume/projected/projected_test.go

    			defaultMode: utilptr.Int32Ptr(0644),
    			path:        "other-token",
    			expiration:  &minute,
    			wantPayload: map[string]util.FileProjection{
    				"other-token": {Data: []byte("test_projected_namespace:foo:60:[https://example.com]"), Mode: 0644},
    			},
    		},
    		{
    			name:        "good service account defaults audience",
    			defaultMode: utilptr.Int32Ptr(0644),
    			path:        "token",
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Fri Nov 03 18:40:48 UTC 2023
    - 40.5K bytes
    - Viewed (0)
  2. pkg/volume/csi/nodeinfomanager/nodeinfomanager_test.go

    						{
    							Name:         "com.example.csi.driver1",
    							NodeID:       "com.example.csi/csi-node1",
    							TopologyKeys: nil,
    							Allocatable: &storage.VolumeNodeResources{
    								Count: utilpointer.Int32Ptr(10),
    							},
    						},
    					},
    				},
    			},
    		},
    		{
    			name:             "new node with max limit of volumes",
    			driverName:       "com.example.csi.driver1",
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Sat Dec 17 02:02:59 UTC 2022
    - 34.3K bytes
    - Viewed (0)
  3. src/cmd/compile/internal/ssa/config.go

    	Float32    *types.Type
    	Float64    *types.Type
    	UInt       *types.Type
    	Uintptr    *types.Type
    	String     *types.Type
    	BytePtr    *types.Type // TODO: use unsafe.Pointer instead?
    	Int32Ptr   *types.Type
    	UInt32Ptr  *types.Type
    	IntPtr     *types.Type
    	UintptrPtr *types.Type
    	Float32Ptr *types.Type
    	Float64Ptr *types.Type
    	BytePtrPtr *types.Type
    }
    
    // NewTypes creates and populates a Types.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Apr 02 16:11:47 UTC 2024
    - 12.9K bytes
    - Viewed (0)
  4. src/cmd/compile/internal/ssa/_gen/dec64.rules

    (Load <t> ptr mem) && is64BitInt(t) && !config.BigEndian && t.IsSigned() =>
    	(Int64Make
    		(Load <typ.Int32> (OffPtr <typ.Int32Ptr> [4] ptr) mem)
    		(Load <typ.UInt32> ptr mem))
    
    (Load <t> ptr mem) && is64BitInt(t) && !config.BigEndian && !t.IsSigned() =>
    	(Int64Make
    		(Load <typ.UInt32> (OffPtr <typ.UInt32Ptr> [4] ptr) mem)
    		(Load <typ.UInt32> ptr mem))
    
    (Load <t> ptr mem) && is64BitInt(t) && config.BigEndian && t.IsSigned() =>
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Oct 04 19:35:46 UTC 2022
    - 14.2K bytes
    - Viewed (0)
  5. pkg/kubelet/images/image_manager_test.go

    		burst:          0,
    	}
    
    	useSerializedEnv := false
    	maxParallelImagePulls := 5
    	var wg sync.WaitGroup
    
    	puller, fakeClock, fakeRuntime, container, _ := pullerTestEnv(t, *testCase, useSerializedEnv, utilpointer.Int32Ptr(int32(maxParallelImagePulls)))
    	fakeRuntime.BlockImagePulls = true
    	fakeRuntime.CalledFunctions = nil
    	fakeRuntime.T = t
    	fakeClock.Step(time.Second)
    
    	// First 5 EnsureImageExists should result in runtime calls
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Wed Apr 24 18:25:29 UTC 2024
    - 19K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.td

        $transpose_a, $transpose_b, $grad_a, $grad_b),
      (CreateXlaDotV2OpFromTfMatMulOp
        $input, $weight, /*input_zp=*/(CreateScalarIntegerConst<"int32_t", "0">),
        /*weight_zp=*/(CreateScalarIntegerConst<"int32_t", "0">),
        $matmul, $transpose_a, $transpose_b),
      [(IsInt32ElementType $input),
       (IsInt8ElementType $weight),
       (IsConstTensor $weight),
       (IsInt32ElementType $matmul),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Dec 10 05:52:02 UTC 2023
    - 21.1K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_xla_attribute_utils.cc

                              Value &padding_high) {
      Value zero = CreateScalarConstValue<int32_t>(builder, loc, 0);
      Value one = CreateScalarConstValue<int32_t>(builder, loc, 1);
      Value two = CreateScalarConstValue<int32_t>(builder, loc, 2);
      Value filter_size = CreateScalarConstValue<int32_t>(builder, loc, filter_sz);
      Type int32_scalar_type = zero.getType();
    
      auto scalar_add = [&](Value lhs, Value rhs) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 17:58:54 UTC 2024
    - 13.3K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/transforms/push_transpose_through_ewise.cc

    llvm::SmallVector<int32_t> InvertPermutation(llvm::SmallVector<int32_t> arr) {
      llvm::SmallVector<int32_t> inverse_arr(arr.size());
      for (int32_t i = 0; i < arr.size(); ++i) {
        inverse_arr[arr[i]] = i;
      }
      return inverse_arr;
    }
    
    llvm::SmallVector<int64_t> PermuteShape(llvm::ArrayRef<int64_t> shape,
                                            llvm::ArrayRef<int32_t> perm) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 12.5K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/utils/utils.h

                                              DenseElementsAttr perm2_const) {
      SmallVector<int32_t> initial_permutation;
      DenseElementsAttr perm1_const;
    
      SmallVector<int32_t> new_permutation;
      if (matchPattern(permutation1, m_Constant(&perm1_const))) {
        for (int32_t idx = 0; idx < perm1_const.getNumElements(); ++idx) {
          initial_permutation.push_back(idx);
        }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 30 00:40:15 UTC 2024
    - 11.6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc

      ShapedType weight_type = mlir::cast<ShapedType>(weight.getType());
      const int32_t input_rank = input_type.getRank();
      const int32_t weight_rank = weight_type.getRank();
      const int32_t broadcasted_rank = std::max(input_rank, weight_rank);
    
      const int32_t num_matmul_dim = 2;
      const int32_t num_input_batch_dim = input_rank - num_matmul_dim;
      const int32_t num_weight_batch_dim = weight_rank - num_matmul_dim;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 47.1K bytes
    - Viewed (0)
Back to top